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  • Bio-computational model of object-recognition: quantum Hebbian processing with neurally shaped Gabor wavelets
    Peruš, Mitja ; Bischof, Horst ; Loo, Chu Kiong
    Theoretical and simulationalevidence, as well as experimental indications, areaccumulatingthat quantum associativememory and imaging are possible.Wecompare these data with biological evidence, ... sincewe findthem to a significantextent compatible. This paper presents a computationally implementable integrative model of appearance-based viewpoint-invariant recognition of objects. The neuro-quantum hybrid model incorporates neural processing up to VI and quantum associative processing in VI, achieving together an object-recognition result in V2 and ITC. Results of our simulation of the central quantum-like parts of the bio-model, receiving neurally pre-processed inputs, are presented. This part contains our original simulated storage by multiple quantum interference of image-encoding Gabor wavelets done in a Hebbian way, especially using the Griniasty et al. pose-sequence learning role.
    Vir: Biosystems. - ISSN 0303-2647 (82, 2005, str. 116-126)
    Vrsta gradiva - članek, sestavni del
    Leto - 2005
    Jezik - angleški
    COBISS.SI-ID - 28833285

vir: Biosystems. - ISSN 0303-2647 (82, 2005, str. 116-126)
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